Method
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli
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* Corresponding author: Kathleen Marchal kathleen.marchal@biw.kuleuven.be
1 Department of Electrical engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium
2 Department of Engineering Mathematics, University of Bristol, Bristol BS8 1TR, UK
3 OKP Research Group, Katholieke Universiteit Leuven, Leuven 3000, Belgium
4 Department of Microbial and Molecular systems, Katholieke Universiteit Leuven, Kasteelpark Arenberg 20, 3001 Leuven, Belgium
5 Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca AP 565-A, México
Genome Biology 2009, 10:R27 doi:10.1186/gb-2009-10-3-r27
Published: 6 March 2009Additional files
Additional data file 1:
Gene, condition and motif content of all 150 modules that were inferred by DISTILLER.
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Additional data file 2:
Description of how the benchmarking with RegulonDB was performed and information on the number of interactions from RegulonDB and the number of novel interactions that were identified by DISTILLER.
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Additional data file 3:
A more detailed description of Figure 1.
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Additional data file 4:
Detailed comparison of DISTILLER and CLR.
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Additional data file 5:
Comparison of CLR, SEREND and DISTILLER with five available ChIP-chip experiments.
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Additional data file 6:
The microarray compendium and the normalization of the microarrays in detail.
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Additional data file 7:
The DISTILLER algorithm and its parameter settings.
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Additional data file 8:
How the predicted FNR targets were experimentally validated.
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